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The papers in this special issue were submitted to all the conferences organized by IEEE Technology and Engineering Management Society (TEMS) in a given calendar year. In 2017, IEEE TEMS initiated its flagship conference TEMSCON (held in Silicon Valley), which serves as rebranding from its original International Technology Management Conferences (ITMC). Following that, in 2018, two more conferences were initiated globally, one in Asia known as IEEE TEMS International Symposium on Innovation and Entrepreneurship (ISIE), and one in Europe as IEEE TEMS International Conference on Technology and Entrepreneurship (ICTE). For this special issue, we invited authors attending any of the three aforementioned conferences in 2018 to submit full manuscripts for reviews, and the present special issue with eleven papers is the result of a careful selection following our usual rigid double-blinded peer-review process. [ABSTRACT FROM AUTHOR]

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. [ABSTRACT FROM AUTHOR]

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. [ABSTRACT FROM AUTHOR]

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. [ABSTRACT FROM AUTHOR]

The Portland International Conference for Management of Engineering and Technology (PICMET) has become a world-leading organization in the field of management of engineering and technology management (MET) since its inception in 1989. PICMET provides a strong platform for academics, industry professionals, and government representatives to exchange new knowledge in the field. To celebrate its 30-year journey, this article examines 20 conferences organized by PICMET covering 6601 accepted papers in order to show the trends in MET research and implementation through topics, authors, journals, and countries. In addition to the analysis of the PICMET data, the article delves into the past ten years (2009–2018) to carry out an in-depth bibliometric analysis of the citations of more than 3000 PICMET papers available at Scopus. The detailed analysis sheds light on how PICMET has developed a rich network of researchers and practitioners through its conferences over time. PICMET contributes to the interdisciplinary nature of the MET field and is also affected by the changes of the field. The article ends with key observations and a few suggestions for further studies. [ABSTRACT FROM AUTHOR]

The article offers information on the upcoming papers of the journal which includes one on Decision Model for Information Technology Management, the other on Teaching-Learning-Based Optimization Algorithm and the third on Organizational Capital Decision Model for Knowledge- Intensive Organizations.

The five papers in this special section focus on collaboration and innovation dynamics in software ecosystems. Over the past years, there has been an exponential growth in the number of articles mentioning "ecosystem" as their topic, and among them, ecosystems in the context of information and communication technologies have received particular attention. Much of this research is motivated by the intuition that ecosystems facilitate innovation. Yet, despite this burgeoning research activity accompanied by a flourish of reviews, actual empirical investigations of the collaboration and innovation dynamics in an ecosystem in general and in software ecosystems specifically remain few and far between. [ABSTRACT FROM AUTHOR]

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. [ABSTRACT FROM AUTHOR]

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. [ABSTRACT FROM AUTHOR]

This paper offers a comprehensive overview of the IEEE Transactions on Engineering Management (IEEE TEM) from 1985 to 2017. This paper employs a mixed-method examination based on an in-depth interview with the new editor-in-chief regarding the challenges for the future of IEEE TEM, along with a bibliometric analysis of the journal. By using Web of Science Core Collection data, the analysis maps the knowledge produced and disseminated by IEEE TEM, revealing the most cited papers, the most frequently occurring keywords and the interconnection between them, the most prolific authors and their coauthorship network, and the most prolific countries for published articles. This paper also shows the main avenues of research covered by IEEE TEM and their evolution through the analysis of the correlation of keywords. This paper offers an example application of a mixed-method bibliometric analysis, seeking to extend the quantitative findings by including other sources of data. [ABSTRACT FROM AUTHOR]

Provides a list of paper titles and authors of forthcoming papers. [ABSTRACT FROM PUBLISHER]

The papers in this special section focus on modeling and simulation in disaster and emergency management. The COVID-19 pandemic of 2020 has wrought damage globally to a degree that is totally unprecedented in human history.Within three months that the first known death from the illness caused by the so-called novel Coronavirus was reported by state media in China on the 11th of January 2020, close to 1.8 million people worldwide had tested positive, with more than 100,000 deaths reported. By the time the pandemic will have been declared to be under control, millions more are expected to have been infected and tens (possibly hundreds) of thousands more will have perished as a result of the disease. Not only are the numbers of COVID-19 infected people and deaths staggering. Economies throughout the world have suffered tremendously, with many companies forced to shut down, or at the very least significantly scale down, their production of goods and services as a result of the need for social distancing and self-isolation required to prevent the unmitigated transmission of the disease. All this has led to hundreds of millions worldwide losing their employment or other sources of livelihood. Governments of all nations, large and small, developed and underdeveloped, have needed to pump into their economy and onto their struggling citizens whatever financial resources they could manage to generate. [ABSTRACT FROM AUTHOR]

The papers in this special section focus on the concept of "tech mining." Here, this term refers to the application of text mining tools to science and technology information, informed by the understanding of technological innovation processes. Since the 1st Global Tech Mining (GTM) Conference in 2010, the GTM community has established great connections between tech mining and a broad range of research domains, particularly bibliometrics, text mining, and technology management. Endeavours of the community touch on benefits of the big data boom, the artificial intelligence (AI) age, advanced analytical and visualization tools, novel philosophical concepts, and reshaped managerial models. [ABSTRACT FROM AUTHOR]

This paper explores the patterns of knowledge production of science and engineering from catching-up via overtaking to the achievement of leadership in global industries. In particular, it examines the depth and direction of knowledge production with proxy variables of patents and bibliometric data of a latecomer firm. Moreover, it explores the changing patterns of knowledge sourcing in the firm during the transition from catch-up to forging ahead and with specific references to the experience of Samsung Electronics Company. This study shows that the patterns of scientific and engineering activities increased as the firm proceeds to the forging ahead period, the patterns of knowledge sourcing evolved in the direction of increasing importance of the domestic knowledge base, and the collaborative partners for generating knowledge changed as the firm's capabilities were enhanced to approach cutting-edge technologies. This paper illuminates the importance of intraorganizational capabilities and domestic knowledge bases to advance a latecomer firm's knowledge generating capabilities into a stage of forging ahead. [ABSTRACT FROM AUTHOR]

The article offers information on several research papers to be published in the forthcoming issue of the periodical including "A New Methodology for Mining Frequent Itemsets on Temporal Data" by Mazaher Ghorbani and Masoud Abessi; "In-Store Pickup and Online Returns for a Dual Channel Retailer" by Stephen Mahar and P. Daniel Wright; and "On the Robust and Stable Flowshop Scheduling under Stochastic and Dynamic Disruptions" by Feng Liu and others.

A list of papers to be published in future issues of "IEEE Transactions on Engineering Management" is presented.

Scholars have suggested that design thinking (DT) should form an integral part of the new product development (NPD) process. However, the contribution of DT to NPD over the past years is yet to be synthesized. In this article, we develop a conceptual framework categorizing how DT contributes to NPD, and present a map to visualize how research in the area of DT in NPD has evolved over the past 20 years. A systematic analysis of 89 journal papers published between 2000 and 2020 helped to generate a conceptual framework, which provides a typology for discussing the growing state of the art of DT in NPD. The study enhances the academic debate by providing a holistic perspective on how DT contributes to the NPD ecosystem and offers directions for future research for the next 20 years. [ABSTRACT FROM AUTHOR]

The papers in this special section focus on innovation in design processes. Design is the human process of applying knowledge to create novel and useful artefacts, such as new products, services, and systems with economic and societal values. In practice and literature, the relevant terms and definitions are often blurred. The design process is often referred to as the "new product development" process, "innovation process", "design innovation" process, etc. Not all design processes lead to inventions or innovations. The design processes that yield innovation are often coupled with the scientific research process and the entrepreneurship process. Herein our focus is not on the innovation arising from the design process, but on the innovations in and of a design process itself that can increase innovation success from the design process. [ABSTRACT FROM AUTHOR]

Information on the papers to be published in the futures issues of "IEEE Transactions on Engineering Management" is presented.

A list of papers published in future issues of the journal "IEEE Transactions on Engineering Management" is presented.

A list of papers that will appear in future issues of the journal "IEEE Transactions on Engineering Management" is presented.

Knowledge accumulation is considered a crucial factor for generating sustained economic growth. Therefore, both knowledge spillovers and externalities are considered drivers of economic development. Standardization is a vital feature of technological progress. It involves triggering adoptions of innovation by reducing market uncertainty between consumers and producers. Standards cannot be implemented without using technology covered by the claims of patents. This paper investigates knowledge spillover through the inward and outward knowledge flow from technology standards. Studies have investigated the quantitative and qualitative effects of technological standards. However, there still exists a lack of understanding regarding the knowledge spillover and externality that results from technological standardization. The aim of this paper is to fill this gap in the literature by elucidating the codified knowledge spillover that underlies patented technologies at the technical, organizational, and industrial standard levels. This paper explores the characteristic patterns of knowledge spillover associated with technology standards. [ABSTRACT FROM AUTHOR]

The main objective of this paper is to develop an integrated multiobjective and multiperiod mathematical model for sustainable supplier selection and order allocation of an automotive manufacturer. In spite of the vast quantity of research on this area, integrated consideration of risk and inflation in sustainable supplier selection and order allocation problem is less investigated. To fill this gap, this paper aims to develop a multiobjective sustainable supplier selection and order allocation model considering risk and inflation. Particularly, six objective functions of total cost, economic score, environmental score, social score, inflation rate, and risk level along with related constraints are optimized in the model. The developed model is solved using weighted sum approach and augmented ε-constraint method. In addition, a sensitivity analysis has been conducted. The results provide the best sustainable suppliers and the optimum quantity of products to be purchase from each supplier in each period. [ABSTRACT FROM AUTHOR]

A list of papers to be published in future issues of "IEEE Transactions on Engineering Management" is presented including topics on advertising effectiveness in social networking sites, measuring the value of radio frequency identification (RFID) investment and alliance formation of small- to medium-sized enterprises (SMEs).

Information of papers to be published in future issues of "IEEE Transactions on Engineering Management" is presented.

A list of papers to be published in future issues of "IEEE Transactions on Engineering Management" is presented including "Stochastic Entry of Competitors and Marketing Decisions," by Y.-S. Huang and J.-W. Ho "A Fuzzy Complexity Model for Enterprise Maintenance Projects," by K. Jenab and S. Shafiei-Monfared and "Optimal Feed-in Tariff Schedules," by G. Shrimali and E. Baker.

Information on the papers to be published in future issues of "IEEE Transactions on Engineering Management," including one on outsourcing and offshoring engineering projects, one on management software outsourcing and one on information technology.

The article presents a list of papers that will be published in forthcoming issues of the Institute of Electrical and Electronics Engineers (IEEE) transactions in Engineering Management, which includes "Casual Discovery and Inference of Project Disputes," by P. Love, P.Davis, S.O. Cheung and Z. Irani, "The Moderating Role of Organizational Context on the Relationship between Innovation and Firm Performance," by D. De Clercq, N. Thongpapanl, and D. Dimov, and "Assessing Organizational Capabilities: Reviewing and Guiding the Development of Maturity Grids," by A. Majer, J. Moultrie and P. Clarkson.

The article looks at papers to be published in the future issues of the journal "IEEE Transactions on Engineering Management" including "Managing by E-Mail: What E-Mail Can Do for Engineering Project Management," "Consumer Acceptance of Personal Information and Communication Technology Services," and "Who Can Cultivate University Ties More in China? A Local Firm or a Foreign Firm?"

Extended producer responsibility (EPR) is an environmental policy introduced in Europe, back in the 1990s. Under EPR, a producer's responsibility for its products is extended beyond the consumption stage, and the producer has to meet the targets of collection and recycling rates imposed by the EPR legislation. Motivated by the importance of this topic, in this paper, we conduct a systematic review on EPR from an operations management perspective. To be specific, we categorize the EPR literature, for both e-wastes and non-e-wastes, by research methodologies (qualitative case studies, quantitative empirical research, and analytical modeling studies) and discuss the respective findings. In addition to systematically exploring the state-of-the-art research within the context of EPR, we investigate pertinent issues, such as the implementation of EPR, EPR management systems, supply chain management under EPR, and EPR-related operations (such as end-of-life product management and design for recyclability). We highlight some EPR-related innovative measures and proposals in five areas, namely policy, product, process, supply chain, and technology. Finally, we discuss future research and propose a concluding picture of how EPR can help establish innovative operational measures to improve sustainability [ABSTRACT FROM AUTHOR]

A list of research articles to be published in future issues of the journal is presented which includes "Environmental Sustainability Initiatives: A Comparative Analysis of Plant Efficiencies in Europe and the U.S.," by Tobias Schoenherr, "An Extended Fuzzy-AHP Approach for the Evaluation of Greed Product Designs," by Hing Kai Chan and "Impact of Economic and Technical Uncertainties on Dynamic New Product Development," by Tao Yao.

As part of business and management studies, research works addressed blockchain technology (BCT) in logistics and supply chain management (LSCM) first in 2016. Increasing levels of interest from researchers and practitioners alike have led to an increasing number of studies from both ends; however, a thorough bibliometric- and cocitation network analysis of BCT in LSCM research has not been carried out so far. To address this gap and to build a basis for future research endeavors, this article provides a bibliometric analysis on BCT, comprising data from 613 articles from academic supply chain research. It is therefore an easy-to-access entry point for academics and practitioners into the topic of BCT in LSCM. This study aims to understand the status of research of BCT in LSCM. To present the results, this article employs a bibliometric analysis methodology. It adopts a citation network analysis and a cocitation analysis. Based on a cocitation analysis, this article classifies the existing literature into five different research clusters, including theoretical sensemaking, conceptualizing and testing blockchain applications, framing BCT into supply chains, the technical design of BCT applications for real-world LSCM applications, and the role of BCT within digital supply chains. [ABSTRACT FROM AUTHOR]

A list of research articles to be published in future issues of "IEEE Transactions on Engineering Management" is presented which includes topics on advertising effectiveness in social networking sites and green supply management strategies in Spanish firms.

The article presents information on papers to be published in future issues of "IEEE Transactions on Engineering Management." It includes "Strategic Management of Cloud Computing Services: Focusing on Consumer Adoption Behavior," by Jungwoo Shin et al., and "Contracting a Development Supplier in the Face of a Cost-Competitive Second Source of Supply," by Arne Mensediek et al.

The article lists the papers to be published at the journal which include topics on product remanufacturing, energy technological change and knowledge transfer.

Maps of science visualizing the structure of science help us analyze the current spread of science, technology, and innovation (ST&I). ST&I enterprises can use the maps of science as competitive technical intelligence to anticipate changes, especially those initiated in their immediate vicinity. Research laboratories and universities can understand their environmental changes and use the map for their research management. However, traditional maps based on bibliometrics, such as citation and cocitation, have difficulty in representing recently published papers and ongoing projects that have few or no references; thus, maps based on contents, i.e., text-mining, have been developed in recent years for locating research papers/projects, for example, using word and paragraph vectors. The content-based maps, however, still pose difficulty in comparing documents in different languages. Therefore, aiming to construct a bilingual (English and Japanese) content-based map of science for the analyses of ST&I information resources in different languages, this article proposes a method for creating word and paragraph vectors corresponding to bilingual textual information in the same multidimensional space. In a comparison of 11 methods for generating document vectors, we confirmed that the best method achieved 87% accuracy of the bilingual content matching based on 10,000 IEEE papers. Finally, we published a map of approximately 150,000 funding projects of the National Science Foundation, Japan Society for the Promotion of Science, and Japan Science and Technology agency from 2013 to 2017. [ABSTRACT FROM AUTHOR]

Digital supply chains (DSCs) can be useful in unlocking supply chains to gain competitive advantage as a driver of growth, while enabling rapid response, supporting novel technology-driven approaches, and creating innovative products and services. Partner selection (PS) is one of the crucial tasks in the successful digitalization of supply chain. However, the selection of a suitable partner is not an easygoing process and is mostly associated with complexity. Various criteria are considered during the partner evaluation process. This paper delivers an efficient evaluation process to assess alternative DSC partners. The proposed approach integrates the Pythagorean fuzzy sets (PFSs), analytic hierarchy process, and complex proportional assessment under a group decision making environment for the first time in the literature. PFSs can depict experts’ evaluations with a richer structure, allowing for a more representative decision making. A case study from Turkey is conducted to validate proposed approach. This study contributes to the existing literature by developing a new evaluation model to improve DSC PS process and by proposing a new hybrid PFSs-based framework. This paper can be useful to practitioners and researchers to better understand DSC PS problem and designing effective DSC partner evaluation systems. [ABSTRACT FROM AUTHOR]

In recent years, there has been an increasing interest in open government data (OGD) around the world. The governments of various countries have encouraged firms to adopt OGD to develop innovative products and services to bring about social and economic benefits. This paper examines the factors influencing the adoption of OGD among firms in Taiwan to fill a gap that prior studies do not adequately address. Based on the sociotechnical perspective, we developed a research model that integrates the following factors that are central to adoption decisions of firms: top management support, government support, competitive pressure, perceived benefits, and perceived barriers. We examined this model through survey data from firms with experience in OGD adoption in Taiwan. The results show a significant positive relationship among top management support, competitive pressure, and the adoption of OGD by firms. This paper serves as a first attempt to contribute to advancing knowledge on OGD adoption at the firm level via empirically testing a research model that integrates factors within social and technical systems. This paper has significant implications for practitioners of enterprise information management and creates a valuable reference for other countries in the early stages of OGD initiatives. [ABSTRACT FROM AUTHOR]

This paper probes deeper into the impact of specific investment on the performance of R&D collaboration through investigating the relationships of both total specific investment and specific investment asymmetry to the performance of R&D collaboration and by examining the mediating effects of cooperative and competitive behaviors on the relationships. Drawing on the data of 140 dyadic R&D collaboration, this paper finds that total specific investment and specific investment asymmetry have different effects on the performance of R&D collaboration, and cooperative and competitive behaviors are the conduits through which specific investment works. These findings not only enrich our knowledge on the linkage of specific investment to the performance of R&D collaboration, but also advance our understanding of the implications of specific investment and the determinants of the performance of R&D collaboration. In addition, this paper responds to the call for testing antecedents and consequences of cooperative and competitive behaviors in collaboration and thereby contributes to research on these behaviors. [ABSTRACT FROM AUTHOR]

The front end (FE) of innovation is critical for a firm's new product success. Since academic interest in this research field has increased significantly, we include 168 FE papers and their 9119 references to conduct a comprehensive analysis of the FE literature. We use cocitation analysis to reduce their risk of researchers’ implicit bias. We show that 11 intellectual research bases characterize extant FE literature: new product development (NPD) capabilities, NPD process, knowledge creation and NPD, organizational NPD creativity, externally influenced NPD creativity, external NPD creativity, new process development, social NPD capital, new product success, NPD project performance, and competitive NPD advantages. The citation burst analysis shows that researchers have varying degrees of interests in these topics. A better understanding of FE research's intellectual background and the identification of hot, cold, and evergreen FE topics are valuable contributions. For instance, FE researchers discuss the nature and characteristics of FE activities by referring to NPD process and new-process literature. They call for further assessments of this issue in order to make both the process implementation and the operationalization more flexible. [ABSTRACT FROM AUTHOR]

An introduction is presented in which the editor discusses articles in the issue on topics including several calls for papers such as organizational theory and innovation management and technology mining, tips on building a resilient organization and defining and quantifying organization capital.

The considerations of global sustainability have dramatically increased the importance of the remanufacturing process. Many scholars have started focusing on this vital area from both a management and an engineering point of view. Previous studies have aimed to categorize this area using traditional review approaches, using a smaller body of literature and mostly focusing on the managerial aspects of remanufacturing. Our paper is the only study for which tech-mining and scientometric methods are used to examine remanufacturing research, for the purpose of identifying top actors and key trends with regard to business and technological approaches. We combine both management- and engineering-related studies in this scientometric study. The results shed light on the principal actors, nations, organizations, and scientific domains in this field. Remanufacturing research is categorized using the co-occurrence-based clustering method. This paper identifies four broad research clusters: production planning and control of remanufacturing, material and remanufacturing engineering, supply chain management of remanufacturing process, and remanufacturing applications and new trends. This paper offers benefits to numerous parties: policymakers in the remanufacturing field, academics who wish to see the research domains, and those practitioners interested in the key management, processes, and technologies of remanufacturing activities. [ABSTRACT FROM AUTHOR]

Product lifecycle management (PLM) is an engineering management approach which helps organizations to manage product-related technical data for its complete lifecycle. The right product data enables better business functioning in organizations. PLM systems are recent and upcoming information technology tools in manufacturing firms. Although PLM systems were initially introduced as the on-premise tools, the current cloud technology is taking it from organizational boundaries to a global level through the Internet. Most enterprise applications have already started moving to clouds; PLM is also all set to be utilized through clouds. But it brings various challenges during cloud PLM adoption. Hence, this paper aims to empirically investigate the critical challenges that manufacturing firms face while adopting cloud PLM. There is rare academic research in the cloud PLM domain. This paper results in the three most significant challenges viz., “Data security on clouds,” “Lack of trust on services,” and “Lack of customization.” These critical challenges not only help the managers in manufacturing firms in planning to migrate on clouds but also the technical cloud providers to improve the cloud services and systems appropriately in order to increase the compatibility of cloud PLM in firms. The present paper uniquely identifies the critical challenges for cloud PLM adoption in large manufacturing firms. [ABSTRACT FROM AUTHOR]

An introduction is presented in which the editor discusses articles in the issue on topics including TEMSCON 2019 conference sponsored by the IEEE Technology and Engineering Management Association, technology analytics, and engineering management functions.

The term “business incubator” (BI) has become an accepted neologism among academics, practitioners, and policymakers. This is despite the lack of an agreed definition amongst scholars of what exactly constitutes a BI. Using a systematic literature review methodology, we identify and analyze definitions of BIs used in published academic research papers and practice papers over a 35-year period. In this article, we undertake a thematic analysis, using the software package NVivo, of 82 academic and 14 practice definitions used in 61 publications. Our analysis shows that definitions of BIs are constructed around three core themes: the business incubation model; the purpose of the incubator; and the target of support provided by the incubator. By identifying both consistencies and inconsistencies in existing definitions, we provide a more nuanced understanding of the heterogeneity that underlies the organizational form referred to as a BI. We conclude by proposing an agenda for further research. [ABSTRACT FROM AUTHOR]

Evaluates the operations research/management science (OR/MS) subdiscipline of flowshop scheduling/sequencing (FSS) of research papers from 1952 to 1994. Approach used in FSS research; Data collection for the research; Reliability and validity of the data collected for the research; Results of the study; Conclusions.

Presents the winners of the 1997 Best Paper Award of the Engineering Management Society. Focus of the research of J. L. Funk, winner of the Best Paper Award; Professional background of the papers' authors; When the papers were published.

Mass customization (MC), as an operations program to satisfy target consumers by offering personalized products or services, has attracted substantial attention from both the industry and academia. Under this program, one of the most important issues is an efficient management of the related inventories, including the work-in-process inventories, standard items, and the customized items, which can ultimately contribute to a profitable business for the companies who have launched MC. This paper, therefore, focuses on reviewing the mass customization based literature and identifying various methods to effectively manage inventory for MC schemes. In addition to regular inventory management, with the increasing emphasis on corporate social responsibility, MC companies are required to devote more effort to the proper management of leftover and returned inventories under MC. This paper, hence, examines MC inventory management in both forward and reverse logistics. Findings from this review provide a guideline to operations managers on inventory management improvement in their MC operations. Future research opportunities related to MC inventory management, such as supply chain coordination and risk management, are discussed. [ABSTRACT FROM AUTHOR]